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Graphus alternatives & similar sites

Graphus | Anti Phishing Software | Cloud Email Security — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Information And Network Security →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
llamasbytes.com ↗	70 match 1 shared topics	LLama's Bytes - Software & Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
intekhabrizvi.com ↗	70 match 1 shared topics	Intekhab Rizvi - Software & Security Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cryptoserv.co.uk ↗	69 match 1 shared topics	CryptoServ - IT Security and Software Development	United Kingdom en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
intego.com ↗	69 match 1 shared topics	Intego Mac Security \| Best Antivirus Software for Complete Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nerdet.com ↗	69 match 1 shared topics	nerdet.is — Cybersecurity & Software Testing from Iceland	en	information-and-network-security	robotsllmsaihumans	emailphone	none
prudenceattablayo.com ↗	69 match 1 shared topics	Security Engineer Portfolio \| AppSec & Cloud Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
crysm.net ↗	68 match 1 shared topics	Cryptographic Hashing & Security Tools \| CrysM.net	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
sitealertai.com ↗	68 match 1 shared topics	Free Website Security Scanner, Email, Phishing & IP Geolocation Tools \| SiteAlertAI	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
sivadira.com ↗	68 match 1 shared topics	Ari Davis - Cyber Security Consultant & Software Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
interroam.com ↗	68 match 1 shared topics	AI-Powered Software for Telecom Networks & Cybersecurity	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
alluresecurity.com ↗	68 match 1 shared topics	Brand Protection & Phishing Takedown Services - Allure Security	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
dotechosecure.com ↗	68 match 1 shared topics	Echo Secure - Penetration Testing and Phishing Simulations	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
myflorbs.com ↗	67 match 1 shared topics	Your security shield for Google Workspace \| Florbs	en	information-and-network-security	robotsllmsaihumans	emailphone	none
myinvisiriskhq.com ↗	67 match 1 shared topics	Software Supply Chain Security Providers \| InvisiRisk	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
myinvisiriskglobal.com ↗	67 match 1 shared topics	Software Supply Chain Security Providers \| InvisiRisk	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
atpmailguard365.com ↗	67 match 1 shared topics	MailGuard 365, AI-powered email security for businesses using Microsoft Office 365	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ataata.com ↗	67 match 1 shared topics	Human Risk Management & Advanced Email Security \| Mimecast	en	information-and-network-security	robotsllmsaihumans	emailphone	none
pugsec.com ↗	67 match 1 shared topics	Pug Security - Pug Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.